Run
498301

Run 498301

Task 10106 (Supervised Classification) CreditCardSubset Uploaded 04-12-2015 by Guido Santegoeds
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.CostSensitiveClassifier_Bagging_CostSensitiveClassifier_AdaBoostM1_REP Tree(1)Weka implementation of CostSensitiveClassifier
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.CostSensitiveClassifier_Bagging_CostSensitiveClassifier_AdaBoostM1_REPTree(1)_Mtrue
weka.CostSensitiveClassifier_Bagging_CostSensitiveClassifier_AdaBoostM1_REPTree(1)_cost-matrix[0.0 1.0; 500.0 0.0]
weka.CostSensitiveClassifier_Bagging_CostSensitiveClassifier_AdaBoostM1_REPTree(1)_S1
weka.CostSensitiveClassifier_Bagging_CostSensitiveClassifier_AdaBoostM1_REPTree(1)_Wweka.classifiers.meta.Bagging
weka.CostSensitiveClassifier_Bagging_CostSensitiveClassifier_AdaBoostM1_REPTree(1)_num-decimal-places4
weka.Bagging_CostSensitiveClassifier_AdaBoostM1_REPTree(1)_P100
weka.Bagging_CostSensitiveClassifier_AdaBoostM1_REPTree(1)_S1
weka.Bagging_CostSensitiveClassifier_AdaBoostM1_REPTree(1)_num-slots4
weka.Bagging_CostSensitiveClassifier_AdaBoostM1_REPTree(1)_I10
weka.Bagging_CostSensitiveClassifier_AdaBoostM1_REPTree(1)_Wweka.classifiers.meta.CostSensitiveClassifier
weka.Bagging_CostSensitiveClassifier_AdaBoostM1_REPTree(1)_num-decimal-places4
weka.CostSensitiveClassifier_AdaBoostM1_REPTree(3)_Mtrue
weka.CostSensitiveClassifier_AdaBoostM1_REPTree(3)_cost-matrix[0.0 1.0; 500.0 0.0]
weka.CostSensitiveClassifier_AdaBoostM1_REPTree(3)_S1
weka.CostSensitiveClassifier_AdaBoostM1_REPTree(3)_Wweka.classifiers.meta.AdaBoostM1
weka.CostSensitiveClassifier_AdaBoostM1_REPTree(3)_num-decimal-places4
weka.AdaBoostM1_REPTree(5)_P100
weka.AdaBoostM1_REPTree(5)_S1
weka.AdaBoostM1_REPTree(5)_I10
weka.AdaBoostM1_REPTree(5)_Wweka.classifiers.trees.REPTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.8896
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.179
Cross-validation details (10-fold Crossvalidation)
F measure
0.9971
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3986
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-13987.6407
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0038
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0033
Cross-validation details (10-fold Crossvalidation)
Number of instances
14240
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_31, x86_64, Mac OS X, 10.10.5]
Precision
0.9985
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9962
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.018
Cross-validation details (10-fold Crossvalidation)
Recall
0.9962
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.1509
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0402
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0616
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.5335
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1846.3321
Total cost
2549
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
92.971
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
86.368
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
6.603
Cross-validation details (10-fold Crossvalidation)